Radiometric Calibration of the Finnish Geospatial Research Institute Hyperspectral LiDAR

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Kaasalainen, Sanna
dc.contributor.author Ilinca, Julian
dc.date.accessioned 2018-09-03T12:36:58Z
dc.date.available 2018-09-03T12:36:58Z
dc.date.issued 2018-08-20
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/33708
dc.description.abstract The algorithmic processing of multiwavelength sampled radiance data recorded by multispectral and hyperspectral LiDAR-instruments improves upon the accuracy of reflectance retrieval and target material characterization capabilities of the instrument. A simulation script was written to study different algorithmic waveform reconstruction procedures for intensity calibration of the Finnish Geodetic Research Institute hyperspectral LiDAR, considering environment of operation, processing speed, and digitization frequency. A Gaussian parametrization, a polynomial least squares, a cubic spline, and a Levenberg-Marquardt algorithm were analyzed in terms of acquiring waveform peak amplitude, spatio-temporal peak location, FWHM, and area parameters from the samples of an approximately 1 ns FWHM Gaussian pulse. The results show that the cubic spline algorithm is best suited for implementation with FGI-HSL, as it provides an error of $0.2575 \pm 0.191$\% in waveform peak amplitude retrieval at a sampling frequency of 4 GHz, and real-time processing capabilities at a pulse repetition frequency of 2 MHz. Based on the insight of this study, suggestions are given for algorithm choice depending on the spatio-temporal shape of the full-waveform and the required accuracy of waveform parameter retrieval as function of sampling frequency. en
dc.format.extent 58
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Radiometric Calibration of the Finnish Geospatial Research Institute Hyperspectral LiDAR en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.subject.keyword hyperspectral en
dc.subject.keyword radiometric calibration en
dc.subject.keyword LiDAR en
dc.subject.keyword spectroscopy en
dc.identifier.urn URN:NBN:fi:aalto-201809034833
dc.programme.major Space Science and Technology fi
dc.programme.mcode ELEC3039 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Rautiainen, Miina
dc.programme NanoRad - Master’s Programme in Nano and Radio Sciences (TS2013) fi
dc.location P1 fi
local.aalto.electroniconly yes
local.aalto.openaccess yes


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